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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Set</span><span class="p">,</span> <span class="n">List</span>
<span class="lineno">2</span>
<span class="lineno">3</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">4</span><span class="kn">import</span> <span class="nn">torch.optim</span>
<span class="lineno">5</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="lineno">6</span><span class="kn">from</span> <span class="nn">torch.cuda</span> <span class="kn">import</span> <span class="n">amp</span>
<span class="lineno">7</span><span class="kn">from</span> <span class="nn">torch.cuda.amp</span> <span class="kn">import</span> <span class="n">GradScaler</span>
<span class="lineno">8</span>
<span class="lineno">9</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">monit</span><span class="p">,</span> <span class="n">tracker</span>
<span class="lineno">10</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">BaseConfigs</span><span class="p">,</span> <span class="n">option</span>
<span class="lineno">11</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.finetune</span> <span class="kn">import</span> <span class="n">FineTuner</span></pre></div>
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    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h3>トレーニング可能なパラメータを取得</h3>
<ul><li><code  class="highlight"><span></span><span class="n">model</span></code>
トレーニングするモデルです</li>
<p><em>トレーニング用のパラメータのリストを返します</em></p></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">14</span><span class="k">def</span> <span class="nf">get_trainable_params</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            <p>すべてのパラメータを取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">23</span>    <span class="n">params</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">())</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <p>グラデーションを必要とするフィルターパラメーター</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">25</span>    <span class="n">trainable_params</span> <span class="o">=</span> <span class="p">[</span><span class="n">p</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span> <span class="k">if</span> <span class="n">p</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">28</span>    <span class="k">return</span> <span class="n">trainable_params</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">31</span><span class="k">class</span> <span class="nc">TrainerConf</span><span class="p">(</span><span class="n">BaseConfigs</span><span class="p">):</span>
<span class="lineno">32</span>    <span class="n">model</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span>
<span class="lineno">33</span>    <span class="n">layers</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">]</span>
<span class="lineno">34</span>    <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Optimizer</span> <span class="o">=</span> <span class="s1">&#39;Adam&#39;</span>
<span class="lineno">35</span>    <span class="n">train_loader</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span>
<span class="lineno">36</span>    <span class="n">valid_loader</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="lineno">37</span>    <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">&#39;cuda:0&#39;</span><span class="p">)</span>
<span class="lineno">38</span>    <span class="n">scaler</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">GradScaler</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Default&#39;</span>
<span class="lineno">39</span>    <span class="n">is_amp</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
<span class="lineno">40</span>    <span class="n">dtype</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">float16</span>
<span class="lineno">41</span>
<span class="lineno">42</span>    <span class="n">is_clone_layers</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
<span class="lineno">43</span>
<span class="lineno">44</span>    <span class="n">loss_func</span><span class="p">:</span> <span class="n">nn</span><span class="o">.</span><span class="n">Module</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span>
<span class="lineno">45</span>    <span class="n">checkpoints_per_epoch</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">46</span>    <span class="n">samples_per_epoch</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
<span class="lineno">47</span>
<span class="lineno">48</span>    <span class="n">grad_norm</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span>
<span class="lineno">49</span>    <span class="n">learning_rate</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">3e-4</span>
<span class="lineno">50</span>    <span class="n">max_seq_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span>
<span class="lineno">51</span>    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span>
<span class="lineno">52</span>    <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span>
<span class="lineno">53</span>
<span class="lineno">54</span>    <span class="n">n_gpus</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">device_count</span><span class="p">()</span>
<span class="lineno">55</span>
<span class="lineno">56</span>    <span class="n">filter_layers</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Set</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <ul><li><code  class="highlight"><span></span><span class="n">dataset_split</span></code>
電車/有効</li>
<li><code  class="highlight"><span></span><span class="n">sample</span></code>
サンプルです</li>
<p>損失、出力、<em>ターゲットを返します</em></p></ul>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">58</span>    <span class="k">def</span> <span class="nf">get_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sample</span><span class="p">,</span> <span class="n">dataset_split</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">64</span>        <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="n">sample</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>フォワードパス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">67</span>        <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Forward pass&#39;</span><span class="p">):</span>
<span class="lineno">68</span>            <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>ターゲットを出力と同じデバイスに移動</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">70</span>        <span class="n">target</span> <span class="o">=</span> <span class="n">target</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>損失の計算</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">72</span>        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="n">target</span><span class="o">.</span><span class="n">numel</span><span class="p">(),</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">target</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
<span class="lineno">73</span>
<span class="lineno">74</span>        <span class="k">return</span> <span class="n">loss</span><span class="p">,</span> <span class="n">output</span><span class="p">,</span> <span class="n">target</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">76</span>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="lineno">77</span>        <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">epochs</span><span class="p">):</span>
<span class="lineno">78</span>            <span class="bp">self</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">()</span>
<span class="lineno">79</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">81</span>    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
<span class="lineno">82</span>        <span class="k">pass</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">84</span>    <span class="k">def</span> <span class="nf">save_checkpoint</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
<span class="lineno">85</span>        <span class="k">pass</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">87</span>    <span class="k">def</span> <span class="nf">get_iterators</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>バッチを繰り返し処理する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">89</span>        <span class="n">iterators</span> <span class="o">=</span> <span class="p">[(</span><span class="s1">&#39;train&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)]</span>
<span class="lineno">90</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">valid_loader</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">91</span>            <span class="n">iterators</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="s1">&#39;valid&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">))</span>
<span class="lineno">92</span>
<span class="lineno">93</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">samples_per_epoch</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="lineno">94</span>            <span class="n">iterators</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">sample</span><span class="p">,</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">samples_per_epoch</span><span class="p">)]))</span>
<span class="lineno">95</span>
<span class="lineno">96</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">checkpoints_per_epoch</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="lineno">97</span>            <span class="n">iterators</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">save_checkpoint</span><span class="p">,</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">checkpoints_per_epoch</span><span class="p">)]))</span>
<span class="lineno">98</span>
<span class="lineno">99</span>        <span class="k">return</span> <span class="n">iterators</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">101</span>    <span class="k">def</span> <span class="nf">train_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>鉄道模型を設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">103</span>        <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
<span class="lineno">104</span>
<span class="lineno">105</span>        <span class="n">iterators</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_iterators</span><span class="p">()</span>
<span class="lineno">106</span>        <span class="k">for</span> <span class="n">split_name</span><span class="p">,</span> <span class="n">sample</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">mix</span><span class="p">(</span><span class="mi">1024</span><span class="p">,</span> <span class="o">*</span><span class="n">iterators</span><span class="p">):</span>
<span class="lineno">107</span>            <span class="k">if</span> <span class="n">split_name</span> <span class="o">==</span> <span class="s1">&#39;train&#39;</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>グラデーションをゼロに設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">109</span>                <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
<span class="lineno">110</span>                <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">()</span>
<span class="lineno">111</span>
<span class="lineno">112</span>            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="n">split_name</span> <span class="o">==</span> <span class="s1">&#39;train&#39;</span><span class="p">):</span>
<span class="lineno">113</span>                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_amp</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>フォワードパス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">115</span>                    <span class="k">with</span> <span class="n">amp</span><span class="o">.</span><span class="n">autocast</span><span class="p">():</span>
<span class="lineno">116</span>                        <span class="n">loss</span><span class="p">,</span> <span class="n">output</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_loss</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">split_name</span><span class="p">)</span>
<span class="lineno">117</span>                <span class="k">else</span><span class="p">:</span>
<span class="lineno">118</span>                    <span class="n">loss</span><span class="p">,</span> <span class="n">output</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_loss</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">split_name</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>予測を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">121</span>                <span class="n">pred</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>精度を計算</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">123</span>                <span class="n">accuracy</span> <span class="o">=</span> <span class="n">pred</span><span class="o">.</span><span class="n">eq</span><span class="p">(</span><span class="n">target</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="o">/</span> <span class="p">(</span><span class="n">target</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">100</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
<span class="lineno">124</span>
<span class="lineno">125</span>                <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">({</span><span class="sa">f</span><span class="s1">&#39;loss.</span><span class="si">{</span><span class="n">split_name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">:</span> <span class="n">loss</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;acc.</span><span class="si">{</span><span class="n">split_name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">:</span> <span class="n">accuracy</span> <span class="o">*</span> <span class="mi">100</span><span class="p">})</span>
<span class="lineno">126</span>
<span class="lineno">127</span>            <span class="k">if</span> <span class="n">split_name</span> <span class="o">==</span> <span class="s1">&#39;train&#39;</span><span class="p">:</span>
<span class="lineno">128</span>                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>バックワードパス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">130</span>                    <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">loss</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p>トラッカー追加 ({'損失.scaled': 損失})</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">133</span>                <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Backward pass&#39;</span><span class="p">):</span>
<span class="lineno">134</span>                    <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            <p>最適化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">137</span>                <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Optimize&#39;</span><span class="p">):</span>
<span class="lineno">138</span>                    <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">139</span>                        <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
<span class="lineno">140</span>                    <span class="k">else</span><span class="p">:</span>
<span class="lineno">141</span>                        <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span><span class="o">.</span><span class="n">unscale_</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
<span class="lineno">142</span>                        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">grad_norm</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="lineno">143</span>                            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="n">get_trainable_params</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">grad_norm</span><span class="p">)</span>
<span class="lineno">144</span>                        <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
<span class="lineno">145</span>                        <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span><span class="o">.</span><span class="n">update</span><span class="p">()</span>
<span class="lineno">146</span>
<span class="lineno">147</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">150</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainerConf</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">&#39;Adam&#39;</span><span class="p">)</span>
<span class="lineno">151</span><span class="k">def</span> <span class="nf">adam_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainerConf</span><span class="p">):</span>
<span class="lineno">152</span>    <span class="k">if</span> <span class="n">c</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">float32</span><span class="p">:</span>
<span class="lineno">153</span>        <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">get_trainable_params</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="p">),</span> <span class="n">lr</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span>
<span class="lineno">154</span>    <span class="k">elif</span> <span class="n">c</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">float16</span><span class="p">:</span>
<span class="lineno">155</span>        <span class="kn">from</span> <span class="nn">labml_nn.optimizers.adam_fp16</span> <span class="kn">import</span> <span class="n">AdamFP16</span>
<span class="lineno">156</span>        <span class="k">return</span> <span class="n">AdamFP16</span><span class="p">(</span><span class="n">get_trainable_params</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="p">),</span> <span class="n">lr</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span>
<span class="lineno">157</span>    <span class="k">else</span><span class="p">:</span>
<span class="lineno">158</span>        <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span>
<span class="lineno">159</span>
<span class="lineno">160</span>
<span class="lineno">161</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainerConf</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span> <span class="s1">&#39;SGD&#39;</span><span class="p">)</span>
<span class="lineno">162</span><span class="k">def</span> <span class="nf">sgd_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainerConf</span><span class="p">):</span>
<span class="lineno">163</span>    <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">SGD</span><span class="p">(</span><span class="n">get_trainable_params</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="p">),</span> <span class="n">lr</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">)</span>
<span class="lineno">164</span>
<span class="lineno">165</span>
<span class="lineno">166</span><span class="nd">@option</span><span class="p">(</span><span class="n">TrainerConf</span><span class="o">.</span><span class="n">scaler</span><span class="p">,</span> <span class="s1">&#39;Default&#39;</span><span class="p">)</span>
<span class="lineno">167</span><span class="k">def</span> <span class="nf">grad_scaler</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">TrainerConf</span><span class="p">):</span>
<span class="lineno">168</span>    <span class="k">if</span> <span class="ow">not</span> <span class="n">c</span><span class="o">.</span><span class="n">is_amp</span><span class="p">:</span>
<span class="lineno">169</span>        <span class="k">return</span> <span class="kc">None</span>
<span class="lineno">170</span>
<span class="lineno">171</span>    <span class="k">if</span> <span class="n">c</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">torch</span><span class="o">.</span><span class="n">float16</span><span class="p">:</span>
<span class="lineno">172</span>        <span class="kn">from</span> <span class="nn">labml_nn.optimizers.adam_fp16</span> <span class="kn">import</span> <span class="n">GradScalerFP16</span>
<span class="lineno">173</span>        <span class="k">return</span> <span class="n">GradScalerFP16</span><span class="p">()</span>
<span class="lineno">174</span>    <span class="k">else</span><span class="p">:</span>
<span class="lineno">175</span>        <span class="k">return</span> <span class="n">GradScaler</span><span class="p">()</span>
<span class="lineno">176</span>
<span class="lineno">177</span>
<span class="lineno">178</span><span class="k">class</span> <span class="nc">PipelineParallelTrainerConf</span><span class="p">(</span><span class="n">TrainerConf</span><span class="p">):</span>
<span class="lineno">179</span>    <span class="n">is_checkpointing</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
<span class="lineno">180</span>    <span class="n">chunks</span><span class="p">:</span> <span class="nb">int</span>
<span class="lineno">181</span>
<span class="lineno">182</span>    <span class="n">fine_tuner</span><span class="p">:</span> <span class="n">FineTuner</span></pre></div>
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